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Networks are involved in many aspects of everyday life, from food webs in ecology and the spread of pandemics to social networking and public transportation. In fact, some of the most important and familiar natural systems and social phenomena are based on a networked structure. It is impossible to understand the spread of an epidemic, a computer virus, large-scale blackouts, or massive extinctions without taking into account the network structure that underlies all these phenomena. In this Very Short Introduction, Guido Caldarelli and Michele Catanzaro discuss the nature and variety of networks, using everyday examples from society, technology, nature, and history to illuminate the science of network theory. The authors describe the ubiquitous role of networks, reveal how networks self-organize, explain why the rich get richer, and discuss how networks can spontaneously collapse. They conclude by highlighting how the findings of complex network theory have very wide and important applications in genetics, ecology, communications, economics, and sociology.
- Sales Rank: #362135 in Books
- Published on: 2012-12-14
- Original language: English
- Number of items: 1
- Dimensions: 4.40" h x .40" w x 6.70" l, .25 pounds
- Binding: Paperback
- 136 pages
About the Author
Guido Caldarelli is Associate Professor in the Institute of Complex Networks of the National Research Council in Rome, Italy. He is an expert of scale-free networks and self-similar phenomena, especially of the applications of network theory to information technology and biology.
Michele Catanzaro is a freelance science writer based in Barcelona, Spain.
Most helpful customer reviews
13 of 14 people found the following review helpful.
a stimulating introduction, with diverse insights from the inane to the profound
By Nigel Kirk
A quick scan of this VSI indicated that it contained a single equation (p=1/2 for a coin toss), reasonable considering the limited depths of explanation possible in this format, but nevertheless indicative of the depth that this introduction to networks attempts. In fairness, it makes good use of graphs. At the time of this review, Wikipedia indicated that 'network' may refer to any of 13 non-proper noun subtopics, any of which may fall within the ambit of this VSI so, again, it can only offer a reader a sense of the extreme breadth and complexity of the networks topic.
My interest was piqued early by the social network representation of a central Australian aboriginal group. No reference or researcher names were given and my own web search suggests that the tribe name must have been spelled Aranda, Arrernte or Arunta but certainly not Arunda as in the book. While this eroded my confidence in the accuracy of this VSI edition, most other areas of discussion identified researchers and the limited bibliography, again excusable up to a point in a VSI book, was of less concern.
The VSI is structured around the topography, trends, dynamics, classification, uses and numerous other features of networks. In each case myriad examples are offered from ecology, neurology, various associations of words and people, the internet, the `six degrees of separation' theory, and many more. There is more emphasis on social networks and the examples and observations range from the inane to the common sense to the profound. The exposition is fresh and engaging. One interesting topic on network structure dealt with how scientific profile and success is a product of network structure (I was interested in how this worked for scientific paper citation) and this topic provided an excellent foundation for further reading and thinking through the issue, as I believe it does for many other networks topics.
In keeping with the book's focus on the features of networks, it provides a useful review in its final chapter, "All the World's a Net; or Not?". Accompanied with the fine range of examples, this is a useful and engaging introduction to the diverse subject of networks.
1 of 1 people found the following review helpful.
best intrductory book on the subject
By Walid K.
This is by far the best introductory book on the subject that I could find. I read three other books written by experts in the field: "Linked" by Barabasi, "Connected" by Christakis and found both to be shallow; also "Understanding Social Networks" by Kadushin which is too dense. I highly recomend this book for its accessibility, clarity, substance and breadth of coverage.
0 of 0 people found the following review helpful.
A good road map to road maps everywhere.
By Axel W
The book walks you through the various networks, the Internet, food webs (they're not chains as you would have told before), molecular networks, sexual partners and airline networks, among many. There are a bunch of tidbits of information throughout the book to keep you entertained but you won't get lost in the myriads of networks quoted in the book as the author uses these fun facts about networks effectively to paint the overall road map of what network theory is and where it is headed.
There are two things I particularly liked about the book. The first thing is that it provides us with an alternative way to understand familiar natural or social phenomena. Without network structures in mind, it is hard to understand why extinction of one species leads to extinction of other ostensibly unrelated species, or why African Americans are 1.3 times more likely to contract STI's than white counterparts. It is important to recognize the part network plays if we are to take any policy interventions to prevent extinction or spread of viruses, or else we can waste tons of resources for nothing. We can't see the forest for the trees.
The second thing is that author direct us to the idea of centrality without getting too technical. The number of links is one way to measure how important (or central) the node is, but it is just one way to do so. There are a few other useful ways to gauge the centrality and the authors explain what these are and how these can explain the phenomena that cannot be explained by a simple degree. My favorite example in the book was Anchorage airport, whose links are not that many but important nonetheless on the other metric (I'll stop right here because I don't want to spoil the surprise for you). Once again, the book makes us realize that we need to acknowledge not just the number of links each node has but also *how* it is placed in the network to detect where the choke point is or to construct robust networks.
A little drawback of the book is the lack of graphs. I was hoping to see more graphical representations. The author warns of the use of a graph to represent certain types of networks and I totally agree. But then there are occasions when a picture is worth a thousand words, and it is especially true when your subject is *graph* theory. For example, the explanation of transitivity could use a little graph, with just three nodes, which would have saved a lot of explanations. This is definitely not a deal breaker though.
Overall, an entertaining and easy-to-read introductory book on network.
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